Find Academic Supervisors

Sonia HaiducView profile

Associate Professor

• Software Engineering
• Program Comprehension
• Source Code Search
• +4 more

Sonia Haiduc is an Associate Professor in the Department of Computer Science at Florida State University (FSU). Her research focuses on software engineering, particularly software maintenance, evolution, program comprehension, and source code search. She holds a Ph.D. (2013) and M.Sc. (2009) from Wayne State University, and a B.Sc. (2006) from Babeș-Bolyai University in Romania. **Education:** Ph.D. in Computer Science, Wayne State University, 2013 M.Sc. in Computer Science, Wayne State University, 2009 B.Sc. in Computer Science, Babeș-Bolyai University, 2006 **Research Interests:** Software Engineering Methodologies Source Code Analysis Empirical Software Engineering Video Tutorials for Software Learning Developer Communications Human Factors in Software Development Her service contributions include organizing key conferences like IEEE International Conference on Program Comprehension (ICPC) and chairing roles in workshops such as Mining Unstructured Data (MUD). She has been recognized with awards including the Google Anita Borg Scholarship and multiple ACM SIGSOFT travel awards. **Grants & Labs:** Director of the SERENE Group at FSU National Science Foundation Award CCF-1526929 (2015–2018): Focuses on text retrieval in software engineering Teaching spans courses like Software Engineering II and Graduate Software Engineering, with extensive TA experience in foundational computer science courses.

Phil de GrootView profile

Lecturer

• Artificial Intelligence
• Game Design
• Digital Media
• +3 more

Phil de Groot is an Instructor at the Academy for AI, Games & Media, specializing in interdisciplinary research at the intersection of artificial intelligence, game design, and digital media. His work focuses on conversational agents, human embodiment in virtual environments, and simulation platforms for spatial planning and interactive technologies. Research Interests: De Groot's research spans conversational agents, simulation platforms, and innovative digital media concepts. He explores challenges in integrating embodied conversational agents with user interfaces, procedural content generation for game environments, and the application of AI in creative industries. His work often bridges technical development with societal impact, particularly in serious games and digital humanism. Key Projects: He contributed to the MSP Challenge Simulation Platform (2021), addressing maritime spatial planning through game-based simulations, and co-developed CUBE (2023), a framework for embodied conversational agents. Recent collaborations include the ILIAD EU-funded project (2021-2024) focused on digital twin frameworks for maritime data services. Professional Activities: De Groot actively participates in academic outreach, including organizing the Breda Game Week (2024) and hosting international visitors from institutions like the University of Amsterdam. He also engages in educational initiatives like XR Stage Training workshops (2024), promoting advanced virtual production techniques.

Clemens Nylandsted KlokmoseView profile

Associate Professor

• Human-Computer Interaction
• Collaborative Systems
• Ubiquitous Computing
• +5 more

Clemens Nylandsted Klokmose is an Associate Professor at the Department of Computer Science, Aarhus University. His research focuses on collaborative systems, ubiquitous computing, and human-computer interaction, particularly in educational and cross-device contexts. He leads projects such as CoTinker and CCTD (Center for Computational Thinking & Design) , aiming to enhance computational thinking and adaptive interfaces. Klokmose’s work spans hybrid collaboration tools, gesture-based analytics platforms, and participatory design methodologies. Selected projects include DashSpace (2025) for immersive analytics, TableBot (2024) for telepresence robotics, and MyWebstrates (2024) for local-first software. He collaborates extensively with educators and researchers to bridge theory and practice in computing education. His contributions address challenges in multi-device ecosystems, adaptive UI design, and ethical AI integration. He has been involved in research initiatives since 2012, including Shared Surfaces and PLACED , exploring activity-centric digital services. His work emphasizes user-centered design principles and real-world applicability across domains like libraries, classrooms, and workplaces.

Peter KánView profile

Researcher

• Photorealistic rendering
• Augmented reality
• Virtual reality
• +5 more

Peter Kán serves as a Senior Scientist at TU Wien's Faculty of Informatics, Institute of Visual Computing and Human-Centered Technology. He manages the Mixed Reality Laboratory and teaches multiple courses including Mixed Reality Lab (193.169), PhD Seminar (193.083), and various Project courses in Computer Science and Visual Computing. PhD in Computer Science from TU Wien Research on High-Quality Real-Time Global Illumination in Augmented Reality His research spans photorealistic rendering, augmented and virtual reality systems, automatic 3D content generation, and embodied conversational agents. Current projects include RE:STOCK INDUSTRY (2024–2027), Circular Twin (2022–2025), and VR Tennis Trainer (2020–2022), funded by FFG and WWTF. His work integrates deep learning with real-time rendering for applications in industrial design, sports training, and accessibility solutions for deaf and hard-of-hearing users. Recent publications demonstrate strong focus on procedural building design, motion analysis, and accessibility interfaces. Key trends include embodied conversational agents with situation awareness, multi-objective optimization for industrial buildings, and haptic feedback systems. His research bridges computer graphics, human-computer interaction, and practical applications in architecture and healthcare. Peter Kán has received research funding from Austrian Research Promotion Agency (FFG) and Vienna Science and Technology Fund (WWTF) for projects including Conversational Agents (2023–2024) and Realistic Indoor Path Visualization (2016–2018). Supervised 10 theses including Tennis Motion Learning in VR (Sebernegg, 2025) and Embodied Conversational Agents (Rumpelnik, 2023) Manages Mixed Reality Laboratory focusing on photorealistic AR/VR systems Leads research teams on projects like Circular Twin and RE:STOCK INDUSTRY

Gabriele BavotaView profile

Professor

• Software Engineering
• Artificial Intelligence
• Data Mining
• +7 more

Gabriele Bavota is a Full Professor in the Faculty of Informatics at the Università della Svizzera italiana (USI). He holds a Laurea (cum laude) and PhD in Computer Science from the University of Salerno (2013). Before joining USI in 2016, he was an Assistant Professor at the Free University of Bolzano-Bozen (2014–2016) and a research fellow at the University of Sannio (2013–2014). Research Focus: Software maintenance, mining software repositories, empirical software engineering, and AI-driven code analysis. Awarded the 2018 ACM Sigsoft Early Career Researcher Award and leads the ERC Starting Grant project DEVINTA, exploring deep learning applications in software engineering. Authored over 180 publications in top venues like ICSE, FSE, and TOSEM, with multiple best/distinguished paper awards. His work bridges empirical studies, AI tools, and developer-centric solutions, addressing challenges in code quality, refactoring, and automated testing. He has served as program chair for ICPC 2016, SANER 2017, and ICSME 2023, and holds editorial roles in TSE, EMSE, and JSS. Labs/Teams: Principal Investigator of the DEVINTA project and part of the Software Institute at USI, fostering collaborations in AI, software engineering, and empirical research.

• Virtual Reality
• Human-Computer Interaction
• 3D User Interfaces
• +5 more

Wolfgang Stuerzlinger is a Professor at Simon Fraser University's School of Interactive Arts & Technology, where he leads research in virtual reality, 3D user interfaces, and human-computer interaction. His work focuses on developing novel interaction techniques for virtual environments, with particular emphasis on eye-tracking systems, text entry methods, and immersive analytics. His research interests span multiple domains within human-computer interaction, with significant contributions to virtual reality interaction techniques, gaze-based interfaces, and 3D navigation systems. He has developed innovative approaches to eye-hand coordination training, text entry in VR, and multiscale environment navigation, advancing our understanding of how users interact with complex virtual spaces. Analysis of his recent publications reveals a strong focus on practical interaction techniques for virtual and augmented reality, with particular attention to gaze-based interaction, 3D pointing performance, and the development of novel input methods. His work often combines empirical studies with practical system development, resulting in both theoretical contributions and usable interfaces. Dr. Stuerzlinger has received recognition through numerous high-impact publications in top venues including CHI, IEEE TVCG, and VR conferences. His research has been consistently funded and has influenced both academic research and industry applications in the VR space. He actively supervises doctoral students and maintains extensive collaborations with researchers worldwide. His current work explores the integration of AI with user interface design, personalized navigation systems, and advanced techniques for distant object manipulation in virtual environments.

Evey HuangView profile

Research Fellow

• Human-AI Collaboration
• Computational Social Science
• Design Research
• +3 more

Evey Huang is a Research Fellow at the Kellogg School of Management and the Northwestern Institute on Complex Systems (NICO) at Northwestern University, where she collaborates with Prof. Brian Uzzi. She holds a Ph.D. from Northwestern’s Technology and Social Behavior program, a joint degree in Computer Science and Communication, advised by Prof. Liz Gerber and Prof. Matt Easterday. Her work focuses on human-AI collaboration, design research, and computational social science, aiming to enhance learning, reflection, and collaboration in domains like entrepreneurship and scientific discovery. Her research explores multimodal AI applications for understanding team dynamics and reimagining scientific collaboration. Key contributions include proactive AI systems for adaptive coaching and context-aware emoji recommendations. She has presented at conferences such as IC2s2, CHI, and CSCW, and her work on intelligent coaching systems received an Honorable Mention at DIS2024. Education: Ph.D. in Technology and Social Behavior (Computer Science & Communication), Northwestern University Awards: Honorable Mention at DIS2024 Evey’s advising and grant narratives include collaborative projects with interdisciplinary teams and presentations on AI’s societal impact. She is affiliated with NICO, leveraging complexity science frameworks to study human-AI systems.

• Software Engineering
• Requirements Engineering
• Human-Computer Interaction
• +7 more

Dr. Maria Spichkova is a Senior Lecturer at RMIT University's School of Computing Technologies. She specializes in Software Engineering, Requirements Engineering, and Computer Science Education. Her research explores human factors in software development, AI applications, and sustainability. She has over 140 publications, including a monograph, and has secured over AUD$385k in research funding since 2015. Dr. Spichkova holds a PhD from TU Munich (2007) and has worked with industry partners like Microsoft and BMW. Awards include the 2023 EAI Fellowship and 2020 AAUT Citation for Teaching Excellence. Education: PhD in Computer Science, TU Munich (2007) Research roles at TU Munich (2003–2013) Research Interests: Human aspects of software engineering, requirements engineering, AI-driven solutions, sustainable eLearning systems, formal methods, and cultural influences on software development. She emphasizes industry collaboration and has led projects like Chirality-2 (mobile gaming for chemistry education) and EndOfTrip (student project). Awards: 2023: Fellow of European Alliance for Innovation (EAI) 2022: LearnSci Teaching Innovation Award (Honourable Mention) 2020: AAUT Citation for Outstanding Contributions to Student Learning 2018: Merit iAward for Chirality-2 Project Advising & Grants: Supervised 7 PhD and 9 Honours students. Notable projects include Tawfeeq Alsanoosy's PhD (14 co-authored papers) and Christopher Bond's Honours thesis (RMIT STEM Award). Secured AUD$330k in external research grants. Labs & Teams: Involved in multidisciplinary teams, e.g., Chirality-2 with Prof. Michelle Spencer (Chemistry) and Prof. Oliver Jones. Collaborates with industry partners like DENSO and AVL. Active in organizing workshops at ICSE, RE, and MODELS conferences.

Alexandra UitdenbogerdView profile

Associate Professor

• User Experience Design
• Computer Music
• Computational Linguistics
• +5 more

Dr. Alexandra Uitdenbogerd is an Associate Professor in the School of Science at RMIT University, based at the City Campus in Australia. She actively supervises PhD and Masters research students and maintains a focus on interdisciplinary research. Her primary research interests include usability engineering for neurodivergent users (e.g., Autism/ADHD) , computational linguistics applied to language learning , and computer music innovation . She also explores recommender systems and cross-platform user experience design . Her teaching interests align closely with her research: Usability and Autism/ADHD, Readability Measurement (Linguistic Complexity), Computer Music (focusing on Music Information Retrieval and generative systems), and Recommender Systems. She has contributed to commissioned reports on topics like IELTS writing competencies for Computer Science PhDs and vocabulary acquisition via extensive reading. Dr. Uitdenbogerd’s research trends reflect a growing emphasis on AI-driven creativity (e.g., Eurovision-Themed AI Song Contest collaborations), neurodiversity-friendly design (studying autistic/non-autistic user interactions with animated interfaces), and computational linguistics (assessing readability for non-native speakers). Her work bridges music technology (e.g., data choralification) with HCI and educational systems . Her lab/team affiliations include the RMIT MIRT Research Group, evident in her contributions to music-related studies. She has no explicitly listed scientific awards but demonstrates sustained academic engagement through peer-reviewed publications and collaborative projects.

Misha SraView profile

Assistant Professor

• Human-Computer Interaction
• Extended Reality (XR)
• Artificial Intelligence
• +8 more

Misha Sra is the John and Eileen Gerngross Assistant Professor in the Computer Science department at the University of California, Santa Barbara (UCSB). She holds courtesy appointments in the Department of Electrical & Computer Engineering, Psychological and Brain Sciences, Media, Art & Tech Program, and Cognitive Science Program. She is an affiliated faculty member of the Center for Responsible Machine Learning, Center for Aging and Longevity Studies, and Mind & Machine Intelligence. She directs the Human-AI Experience (HAX) Lab. Her research focuses on the intersection of Human-Computer Interaction (HCI), Extended Reality (XR), and Human-Centered Artificial Intelligence (AI). She investigates novel interfaces, interactions, tools, and systems for psychomotor skill acquisition, task guidance, and creative collaboration, particularly in spatial human-AI interaction. Her work explores AI's role in democratizing experiential interfaces, human-AI learning dynamics, and transitioning from data-centric to human-centric AI. Recent publications span AI-guided image editing, spatial memory in VR, emotion-aware interfaces, and mixed reality task support systems. Her research has appeared in venues like IEEE VR, ACM CHI, UIST, and ISMAR. Hellman Foundation Faculty Fellowship NSF Early CAREER Award Google Research Scholar Award IEEE Best Dissertation Award ACM CHI Best Paper Award Silver Edison Award ACM VRST Best Paper Award She advises PhD candidates in Computer Science, Electrical & Computer Engineering, and Media Arts & Technology. Her lab's projects address accessibility, AI ethics, and immersive system design, with grants supporting research on human-AI spatial collaboration and XR technologies.

Shiya CaoView profile

Assistant Professor

• Disability Inclusion
• Social Inclusion
• Quantitative Methods
• +3 more

Shiya Cao is the MassMutual Assistant Professor of Statistical and Data Sciences at Smith College . Her work focuses on disability inclusion and broader social inclusion through quantitative, qualitative, and design science methods. She holds a Ph.D. and M.S. from Worcester Polytechnic Institute and a B.A. from North China Electric Power University. Research interests span disability inclusion analytics , intersectional IT accommodations , and accessible data visualization . She leads the Disability Inclusion Analytics Lab , exploring how information systems can promote equity in workplaces and digital spaces. Publications emphasize workplace accommodation frameworks, web accessibility perceptions, and systemic barriers faced by marginalized groups. Recent work includes analyzing power dynamics in legal compliance technologies and designing inclusive systems from a social model perspective. No scientific awards are explicitly listed, though her research contributes significantly to emerging fields of ethical data science and inclusive technology. Advising and grant details are not provided in available texts.

• Learning Analytics
• Artificial Intelligence
• Explainable AI (XAI)
• +5 more

Mohamed Abdelgalil is an Associate Professor of Computer Science at the University of Eastern Finland (UEF), leading the Learning Analytics Unit —recognized as Europe’s most productive laboratory in his field over the last five years and globally ranked second in 2024. His academic journey includes a PhD in Learning Analytics from Stockholm University (Best Thesis Award), postdoctoral roles at Université Paris Cité, KTH Royal Institute of Technology, and UEF, and a Docent title in Learning Analytics from the University of Oulu . Research Focus: Precision Explainable AI (XAI), network science, and methodological innovations for personalized, equitable AI-driven learning environments. He developed the tna software for dynamic process analytics and learning networks. Publications: Over 190 works, including journals like British Journal of Educational Technology and IEEE Transactions on Learning Technologies , with recent studies on emotional regulation in collaborative learning, AI interaction modeling, and accessibility in virtual labs. Awards: Europe’s Emerging Scholar Award (2023), Best Paper awards at LAK, ICCE, SITE, and TEEM. Leadership: Serves on editorial boards of leading journals, chairs conference tracks, and delivers keynotes. Collaborates with global institutions, governmental bodies, and industry partners.

• Computer Graphics
• Medical Imaging
• Virtual Reality
• +3 more

Klaus Hinrichs is a Professor at the University of Münster. His work focuses on computer graphics, medical imaging, virtual reality, and scientific visualization. He leads research in interactive visualization techniques, geometric algorithms, and human-computer interaction, with applications in medical diagnostics, astrophysics, and immersive environments. His research interests include 3D reconstruction, volume rendering, gesture-based interfaces, and redirected walking in VR. He has contributed to projects like VIPAR for histopathology analysis and the Voreen framework for interactive volume visualization. Recent work explores touch interaction with stereoscopic objects, haptic feedback systems, and biometric authentication methods for mobile devices. His publications span over 30 years, emphasizing interdisciplinary approaches to visualization and user interface design.

Ville MäkeläView profile

Assistant Professor

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +3 more

Dr. Ville Mäkelä is an Assistant Professor at the University of Waterloo's Systems Design Engineering department. His research focuses on Human-Computer Interaction (HCI), Virtual Reality (VR), Augmented Reality (AR), and cryptocurrency education. He explores how emerging technologies like VR/AR impact user behavior, education systems, and public spaces. His work bridges technological innovation with practical applications in education, finance, and digital wellbeing. Dr. Mäkelä's studies address challenges in VR/AR implementation, such as emotion assessment in virtual environments, ethical research practices, and public display usability in transit systems. He also investigates cryptocurrency investor psychology and gamified financial education strategies to improve market literacy. His interdisciplinary approach combines technical design with user-centric methodologies. Notable contributions include frameworks for remote VR studies, mindful smartphone interaction techniques (MindPhone), and design guidelines for interactive omnidirectional videos. His research emphasizes real-world applications of HCI principles, particularly in education, transportation, and security contexts. While no scientific awards are listed, his work reflects sustained innovation in interactive technology and user behavior analysis. His advising and grant activities are not detailed in the provided information, but his active publication record indicates ongoing research engagement. Dr. Mäkelä's work is disseminated through leading HCI and tech conferences.

Synne Geirsdatter FrydenbergView profile

Associate Professor

• Design Research
• Interaction Design
• Serendipity in Design
• +4 more

Synne Geirsdatter Frydenberg is an Associate Professor at the Department of Design, Oslo School of Architecture and Design (AHO). She earned her PhD in 2024 with the dissertation Cultivating Serendipity in Design Complexity , building on her 2011 Master’s in Industrial Design from AHO, foundational studies at The Royal Danish Academy, and exchange experience at Berlin University of the Arts. Her research focuses on fostering serendipity in complex design systems , particularly for safety-critical maritime workplaces . She contributes to major projects like the EU-funded SEDNA (Safe Maritime Operations under Extreme Conditions) and the Ocean Industries Concept Lab , with initiatives including OpenBridge , OpenAR , OpenZero , and OpenRemote . These projects aim to harmonize remote maritime workstation design and enhance AR navigation in Arctic conditions. Her recent publications highlight trends in augmented reality , virtual fieldwork , and serendipity-driven design for maritime environments. She actively explores how AR and VR technologies can improve contextual understanding in design education and real-world applications. Key collaborations include work with Kjetil Nordby, Jon Olav Husabø Eikenes, and Katie Aylward. Her expertise bridges interaction design , human-computer interaction , and design methodology in extreme operational contexts.